WO2017139324A1 - Échantillonnage de capteur adaptatif d'un système de distribution de la chaîne du froid - Google Patents

Échantillonnage de capteur adaptatif d'un système de distribution de la chaîne du froid Download PDF

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Publication number
WO2017139324A1
WO2017139324A1 PCT/US2017/016926 US2017016926W WO2017139324A1 WO 2017139324 A1 WO2017139324 A1 WO 2017139324A1 US 2017016926 W US2017016926 W US 2017016926W WO 2017139324 A1 WO2017139324 A1 WO 2017139324A1
Authority
WO
WIPO (PCT)
Prior art keywords
environmental
controller
event
sampling rate
perishable goods
Prior art date
Application number
PCT/US2017/016926
Other languages
English (en)
Inventor
Marc Beasley
Murat Yasar
Veronica ADETOLA
Draguna VRABIE
Original Assignee
Carrier Corporation
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Family has litigation
First worldwide family litigation filed litigation Critical https://patents.darts-ip.com/?family=58185617&utm_source=google_patent&utm_medium=platform_link&utm_campaign=public_patent_search&patent=WO2017139324(A1) "Global patent litigation dataset” by Darts-ip is licensed under a Creative Commons Attribution 4.0 International License.
Application filed by Carrier Corporation filed Critical Carrier Corporation
Priority to SG11201806740UA priority Critical patent/SG11201806740UA/en
Priority to US16/077,105 priority patent/US20190049926A1/en
Priority to EP17707723.7A priority patent/EP3414708B1/fr
Priority to CN201780010985.8A priority patent/CN108604307A/zh
Publication of WO2017139324A1 publication Critical patent/WO2017139324A1/fr

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Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0205—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system
    • G05B13/021—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system in which a variable is automatically adjusted to optimise the performance
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K19/00—Record carriers for use with machines and with at least a part designed to carry digital markings
    • G06K19/06—Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code
    • G06K19/067—Record carriers with conductive marks, printed circuits or semiconductor circuit elements, e.g. credit or identity cards also with resonating or responding marks without active components
    • G06K19/07—Record carriers with conductive marks, printed circuits or semiconductor circuit elements, e.g. credit or identity cards also with resonating or responding marks without active components with integrated circuit chips
    • G06K19/0716—Record carriers with conductive marks, printed circuits or semiconductor circuit elements, e.g. credit or identity cards also with resonating or responding marks without active components with integrated circuit chips at least one of the integrated circuit chips comprising a sensor or an interface to a sensor
    • G06K19/0717—Record carriers with conductive marks, printed circuits or semiconductor circuit elements, e.g. credit or identity cards also with resonating or responding marks without active components with integrated circuit chips at least one of the integrated circuit chips comprising a sensor or an interface to a sensor the sensor being capable of sensing environmental conditions such as temperature history or pressure
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083—Shipping
    • G06Q10/0832—Special goods or special handling procedures, e.g. handling of hazardous or fragile goods
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/18—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form
    • G05B19/4155—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by programme execution, i.e. part programme or machine function execution, e.g. selection of a programme
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/37—Measurements
    • G05B2219/37509—Intelligent sensor, incorporation temperature compensation

Definitions

  • the subject matter disclosed herein relates to environmental parameter monitoring, and to a system and a method for monitoring environmental parameters.
  • cold chain distribution systems are used to transport and distribute perishable goods and environmentally sensitive goods (herein referred to as perishable goods) that may be susceptible to temperature, humidity, and other environmental factors.
  • Perishable goods may include but are not limited to fruits, vegetables, grains, beans, nuts, eggs, dairy, seed, flowers, meat, poultry, fish, ice, blood and pharmaceuticals.
  • cold chain systems allow perishable and environmentally sensitive goods (herein referred to as perishable goods) to be effectively transported and distributed without damage or other undesirable effects.
  • Environmental parameter sensors are often used in cold chain distribution systems to monitor the conditions and integrity of the cold chain and consequently the goods transported.
  • Current environmental parameter sensing systems may sample and transmit data periodically at a high frequency to provide real time monitoring of the perishable goods.
  • High frequency real time monitoring strains the overall sensor system bandwidth and drains the sensor's battery.
  • a system and method that can provide monitoring of environmental parameters in an energy efficient manner is desired.
  • an apparatus for cold chain monitoring of perishable goods includes at least one environmental sensor to monitor at least one environmental parameter, at least one event detector to detect at least one of an environmental altering event and a user induced event, and a controller to receive and log a plurality of readings from the at least one environmental sensor at a selected sampling rate, wherein the sampling rate adjusts depending on at least one of the perishable goods, the environmental altering event, and the user induced event.
  • further embodiments could include wherein the at least one environmental sensor, further comprises a power source providing electrical power to the at least one environmental sensor.
  • the at least one of the controller and the at least one environmental sensor commands the sampling rate to adjust.
  • further embodiments could include a communication module in operative communication with the controller and wireless operative communication with a remote controller, wherein the communication module is configured to transmit at least one data signal associated with the plurality of readings to the remote controller.
  • communication module is a cellular interface to communicate with a cellular network.
  • a method for cold chain monitoring of perishable goods includes monitoring, using at least one environmental sensor, at least one environmental parameter, receiving and logging, using a controller, a plurality of readings from the at least one environmental sensor at a selected sampling rate, monitoring, using at least one event detector, at least one of an environmental altering event and a user induced event, and adjusting the sampling rate depending on at least one of the perishable goods, the environmental altering event, and the user induced event.
  • further embodiments could include electrically powering, using a dedicated power source, the at least one environmental sensor.
  • further embodiments could include commanding the adjustment of the sampling rate via at least one of the controller and the at least one environmental sensor.
  • further embodiments could include wirelessly transmitting, using a communication module in operative communication with the controller, at least one data signal associated with the plurality of readings to a remote controller.
  • further embodiments could include receiving, using the communication module, at least one remote command from the remote controller; and transmitting the at least one remote command to the controller.
  • the communication module is a cellular interface to communicate with a cellular network.
  • perishable goods include at least one of food and pharmaceuticals.
  • FIG. 1 illustrates a schematic view of an environmental parameter monitor in a cold chain distribution system, in accordance with an embodiment
  • FIG. 2 is a schematic view of an environmental parameter monitoring system, in accordance with an embodiment. DETAILED DESCRIPTION
  • FIG. 1 illustrates a schematic view of an exemplary cold chain transportation system 10 suitable for use with an environmental parameter monitoring system 20.
  • cold chain transportation systems 10 are used to transport and distribute perishable goods and environmentally sensitive goods (herein referred to as perishable goods).
  • a cold chain transportation system 10 includes an environmentally controlled container 14, an environmental control system 28 and perishable goods (not shown).
  • the container 14 may be pulled by a tractor 12. It is understood that embodiments described herein may be applied to shipping containers that are shipped by rail, sea, or any other suitable container, without use of a tractor 12.
  • the container 14 may define an interior compartment 18.
  • the environmental control system 28 is associated with container 14 to provide desired environmental parameters, such as, for example temperature, pressure, humidity, carbon dioxide, ethylene, ozone, light exposure, and other conditions to the interior compartment 18.
  • desired environmental parameters such as, for example temperature, pressure, humidity, carbon dioxide, ethylene, ozone, light exposure, and other conditions to the interior compartment 18.
  • the environmental control system 28 is a refrigeration system capable of providing a desired temperature and humidity range.
  • perishable goods may include but are not limited to fruits, vegetables, grains, beans, nuts, eggs, dairy, seed, flowers, meat, poultry, fish, ice, blood, pharmaceuticals, or any other suitable cargo requiring cold chain transport.
  • the environmental parameter monitoring system 20 includes, at least one environmental sensor 22, at least one event detector 24, and a controller 30.
  • the sensor 22 is utilized to monitor environmental parameters and generate a sensor reading.
  • the sensor 22 is configured to monitor at least one environmental parameter, such as for example temperature, pressure, humidity, carbon dioxide, ethylene, ozone, light exposure, vibrations, and other conditions in the interior compartment 18.
  • suitable sensors 22 are utilized to monitor the desired parameters.
  • sensors 22 may be selected for certain applications depending on the perishable cargo to be monitored and the corresponding environmental sensitivities.
  • temperatures are monitored.
  • a user desires to maintain and monitor temperatures or other parameters within an acceptable range.
  • the sensor 22 may be placed in a variety of locations within the interior compartment 18, including directly on the perishable goods.
  • the at least one event detector 24 is configured to detect at least one of an environmental altering event and a user induced event. For instance, the event detector 24 may determine whether at least one of an environmental altering event and a user induced event has occurred such as, for example a temperature change, or a door opening in the container 14. In further embodiments, the event detector 24 may be internal or external to the sensor 22.
  • the controller 30 is configured to log a plurality of readings from the at least one environmental sensor 22 at a selected sampling rate.
  • the plurality of readings are further augmented with time, position stamps or other relevant information.
  • the controller 30 may be an electronic controller including a microprocessor and an associated memory bank.
  • the processor may be but is not limited to a single-processor or multi-processor system of any of a wide array of possible architectures, including field programmable gate array (FPGA), central processing unit (CPU), application specific integrated circuits (ASIC), digital signal processor (DSP) or graphics processing unit (GPU) hardware arranged homogenously or heterogeneously.
  • FPGA field programmable gate array
  • CPU central processing unit
  • ASIC application specific integrated circuits
  • DSP digital signal processor
  • GPU graphics processing unit
  • the memory may be but is not limited to a random access memory (RAM), read only memory (ROM), or other electronic, optical, magnetic or any other computer readable medium.
  • the sampling rate adjusts depending on at least one of the perishable goods, the environmental altering event, and the user induced event. Different perishable goods may require different levels of monitoring, which would determine the sampling rate.
  • the sampling rate is how often the sensor 22 transmits a reading to the controller 30. For instance, some perishable goods may be very susceptible to temperature changes and the temperature must be closely monitored and logged in the controller 30, which would thus require a higher sampling rate. In another example, some perishable goods may not be as sensitive and thus only a major change might prompt the sensor 22 to transmit a reading to the controller 30, such as a drastic temperature change in the container 14.
  • At least one of an environmental altering event and a user induced event may also change the sampling rate due to the fact that the perishable good may now have to be more closely monitored to ensure that conditions stabilize in a timely manner. For instance, if a door opens to the refrigerated container 14, the sampling rate may have to be increased to ensure that the temperature of the perishable good quickly returns to the correct temperature.
  • the at least one environmental sensor 22, further includes a power source 26 providing electrical power to the sensor 22.
  • the power source 26 may be a battery or power generation device including, but not limited to, primary cell batteries, secondary cell batteries, gas powered generators, or solar cells. Since the sensor 22 will have a dedicated power source 26, power conservation is beneficial and thus reducing the sampling rate to save power is helpful. Further, the sensor 22 may command the sampling rate to adjust. For instance, a selected sampling rate may be preloaded into the sensor 22 and the sensor 22 may, on its own, decide not to send a reading to the controller 30 unless at least one of an environmental altering event and a user induced event has occurred.
  • the senor 22 may only transmit a reading to the controller if there is a change in an environmental parameter.
  • the controller 30 may determine how often the 22 transmits a reading, by pulling the readings from the sensor 22. Again the sampling rate may be adjusted based on at least one of the perishable good, the environmental altering event, and the user induced event.
  • the environmental parameter monitoring system 20 may further include a communication module 32 in operative communication with the controller 30 and in wireless operative communication with a remote controller 70 via a network 60.
  • the communication module 32 is configured to transmit at least one data signal associated with the plurality of readings to the remote controller 70.
  • the wireless communication may be, but is not limited to, radio, microwave, satellite networks, cellular networks, cloud computing network, wide area network, or another wireless communication method.
  • the environmental parameter monitoring system 20 may include a short range interface, wherein the short range interface includes at least one of: a wired interface, an optical interface, and a short range wireless interface.
  • the remote controller 70 may be but is not limited to a dedicated remote controller device, cellular phone, tablet, laptop, smartwatch, a desktop computer or any other similar device.
  • the controller 30 may allow a secondary data download after the perishable cargo has reached a checkpoint or a destination. Data may be transferred to an external download device. The locally downloaded data may be authenticated, provide additional data for diagnostic purposes or provide data in accordance with receiver/shipper protocols.
  • the controller 30 may transfer data by any suitable local method, including, but not limited to USB, serial transmission, optical transmission, local Wi-Fi, personal area networks, or any other suitable local interface.
  • the communication module 32 is configured to receive at least one remote command from the remote controller 70 and transmit the at least one remote command to the controller 30.
  • the remote controller 70 commands the sampling rate to adjust.
  • FIG. 2 shows the architecture of an environmental monitoring system 20 in conjunction with an environmental control system 28.
  • the environmental monitoring system 20 will provide feedback to the environmental control system 28 to help maintain the proper environmental conditions.
  • the architecture of the environmental monitoring system 20 includes at least one environmental sensor 22, a controller 30, an environmental control system 28, and at least one event detector 24.
  • the event detector 24 may be internal to or separate from the sensor 22.
  • Between the controller 30 and the environmental control system 28, may be a zero-order hold (ZOH) 42 to condition the electrical signal from digital to analog for the environmental control system 28.
  • ZOH zero-order hold
  • reference parameters (x re f) are loaded into the sensor 22 depending on the specific type of perishable good.
  • the x re f is the desired reference set-point for the sensor 22.
  • the sensor 22 will monitor environmental parameters (*:(3 ⁇ 4)) of the perishable goods and may read the reference parameter input (x re f) and sense a change in the environmental parameter (x(tk)) over a period of time.
  • the sensor 22 will communicate the change in the reference parameter (x re f) and environmental parameter (x(tk)) to the event detector 24, which will determine whether at least one of an environmental altering event and a user induced event has occurred.
  • the event detector 24 will then transmit a command back to the sensor 22 to send a reading to the controller 30, which will then analyze the reading and transmit a command to the an environmental control system 28, that is conditioned by the ZOH 42. For example, if a trailer door to a refrigerated container 14 is opened or the user changes the reference set-point, the error ⁇ (x(tk)) - (jc re ) ⁇ will increase and the event detector 24 will trigger data transmission to the controller 30. The environmental control system 28 will then adjust accordingly.
  • the controller 30 and/or the sensor(s) 22 may also increase or decrease the sampling rate of one or more sensors 22 based on the presence or absence of at least one of an environmental altering event and a user induced event.
  • the presence of at least one of an environmental altering event and a user induced event may cause the controller 30 to instruct one or more sensors 22 to increase a sampling rate. For example, if temperature in the compartment 18 is varying rapidly (e.g., pulldown mode) then the sampling rate for sensors 22 may be increased.
  • the absence of at least one of an environmental altering event and a user induced event may cause the controller 30 to instruct one or more sensors 22 to decrease a sampling rate.
  • the sampling rate for sensors 22 may be decreased.
  • the sensor 22 may be an electronic controller including a microprocessor and an associated memory bank, which would allow the sensor 22 to increase or decrease the sampling rate, on its own without the help of the controller 30.

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Abstract

L'invention concerne un procédé et un appareil permettant de surveiller la chaîne du froid de produits périssables, comprenant : au moins un capteur environnemental permettant de surveiller au moins un paramètre environnemental ; au moins un détecteur d'événement permettant de détecter un événement de modification d'environnement et/ou un événement induit par l'utilisateur ; et un contrôleur permettant de recevoir et de consigner une pluralité de relevés à partir d'au moins un capteur environnemental à une fréquence d'échantillonnage sélectionnée. En fonction d'au moins l'un des produits périssables, la fréquence d'échantillonnage adapte l'événement de modification d'environnement et l'événement induit par l'utilisateur.
PCT/US2017/016926 2016-02-12 2017-02-08 Échantillonnage de capteur adaptatif d'un système de distribution de la chaîne du froid WO2017139324A1 (fr)

Priority Applications (4)

Application Number Priority Date Filing Date Title
SG11201806740UA SG11201806740UA (en) 2016-02-12 2017-02-08 Adaptive sensor sampling of a cold chain distribution system
US16/077,105 US20190049926A1 (en) 2016-02-12 2017-02-08 Adaptive sensor sampling of a cold chain distribution system
EP17707723.7A EP3414708B1 (fr) 2016-02-12 2017-02-08 Sélection de données de capteur adaptatif pour un systeme de la chaine du froid
CN201780010985.8A CN108604307A (zh) 2016-02-12 2017-02-08 冷链配送系统的自适应传感器采样

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201662294791P 2016-02-12 2016-02-12
US62/294,791 2016-02-12

Publications (1)

Publication Number Publication Date
WO2017139324A1 true WO2017139324A1 (fr) 2017-08-17

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PCT/US2017/016926 WO2017139324A1 (fr) 2016-02-12 2017-02-08 Échantillonnage de capteur adaptatif d'un système de distribution de la chaîne du froid

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Country Link
US (1) US20190049926A1 (fr)
EP (1) EP3414708B1 (fr)
CN (1) CN108604307A (fr)
SG (2) SG10202103407YA (fr)
WO (1) WO2017139324A1 (fr)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3414708B1 (fr) 2016-02-12 2022-09-28 Carrier Corporation Sélection de données de capteur adaptatif pour un systeme de la chaine du froid

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA3081388A1 (fr) * 2017-11-02 2019-05-09 Smarta Industrial Pty Ltd Systeme et procede pour manipuler un fluide en vrac
US20210370287A1 (en) * 2018-05-10 2021-12-02 Halliburton Energy Services, Inc. Tamper-Resistant Pressurized Well Fluid Transfer Bottle Having Sensor Package, Memory Gauge and Display and Uses Thereof
US10728633B2 (en) * 2018-12-19 2020-07-28 Simmonds Precision Products, Inc. Configurable distributed smart sensor system
US11654740B2 (en) * 2020-04-30 2023-05-23 Thermo King Llc Data integrity of verification data for a transport climate control system
CN112180785B (zh) * 2020-09-21 2021-07-06 山东工业职业学院 一种服务器机房环境监控系统
KR102459378B1 (ko) * 2021-11-15 2022-10-28 주식회사 윌로그 물류의 상태 관리에 이용되는 센싱 데이터의 변화량을 기반으로 데이터를 압축하여 저장하기 위한 시스템, 장치 및 방법

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2001023841A1 (fr) * 1999-09-27 2001-04-05 Q-Tag Ag Appareil de controle destine a controler et afficher des conditions de transport et de stockage critiques
US20070273507A1 (en) * 2005-04-22 2007-11-29 Jonathan Burchell Apparatus and method for monitoring and communicating data associated with a product
US20120197622A1 (en) * 2011-01-31 2012-08-02 Fujitsu Limited Monitoring Insulin Resistance
US20150002299A1 (en) * 2009-12-11 2015-01-01 Warren Sandvick Food safety indicator
US20150046364A1 (en) * 2013-08-09 2015-02-12 KLATU Networks, LLC System-independent data logging
WO2016074822A1 (fr) * 2014-11-14 2016-05-19 Robert Bosch Gmbh Dispositif pour identifier l'ouverture d'une emballage
US20170053290A1 (en) * 2008-07-03 2017-02-23 Paul Atkinson Intelligent adaptive label device and method

Family Cites Families (27)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4414858A (en) * 1982-03-22 1983-11-15 Westinghouse Electric Corp. Steam turbine fluid sampling apparatus
US8280682B2 (en) * 2000-12-15 2012-10-02 Tvipr, Llc Device for monitoring movement of shipped goods
US6311509B1 (en) 2000-12-22 2001-11-06 Premark Feg L.L.C. Chiller with automatic probe detection and filtered temperature display
US6892546B2 (en) * 2001-05-03 2005-05-17 Emerson Retail Services, Inc. System for remote refrigeration monitoring and diagnostics
EP1319928A1 (fr) 2001-12-14 2003-06-18 3M Innovative Properties Company Indicateur pour des marchandises périssables avec une entrée pour les données de la période précédente, interruption, enregistrement variable, équation Arrhenius, transmission des données
US7495558B2 (en) * 2004-04-27 2009-02-24 Infratab, Inc. Shelf-life monitoring sensor-transponder system
US7765818B2 (en) 2006-05-30 2010-08-03 B/E Aerospace, Inc. Refrigeration unit and diagnostic method therefor
US20090248218A1 (en) * 2008-03-28 2009-10-01 Thermo King Corporation Environment control system for a transport unit
US8618914B2 (en) * 2010-01-05 2013-12-31 The Regents Of The University Of California MEMS sensor enabled RFID system and method for operating the same
CN102137476A (zh) * 2010-01-21 2011-07-27 广州市香港科大霍英东研究院 一种便携式无线监测终端低功耗实现方法
EP2545504A4 (fr) * 2010-03-10 2015-01-21 Apl Ltd Contrôle en temps réel de chargement de navire
US20130170417A1 (en) * 2011-09-06 2013-07-04 Evan A. Thomas Distributed low-power monitoring system
US9077183B2 (en) * 2011-09-06 2015-07-07 Portland State University Distributed low-power wireless monitoring
US9191442B2 (en) * 2012-04-03 2015-11-17 Accenture Global Services Limited Adaptive sensor data selection and sampling based on current and future context
WO2013163612A1 (fr) * 2012-04-27 2013-10-31 Magpie Sensing Llc Surveillance environnementale
US9064389B1 (en) * 2012-11-13 2015-06-23 e-Control Systems, Inc. Intelligent sensor for an automated inspection system
GB2522728A (en) * 2014-01-31 2015-08-05 Cambridge Consultants Monitoring device
CN103135640B (zh) * 2013-03-08 2014-10-15 山东省计算中心 基于北斗系统的绿色储运与冷链物流监管系统及方法
CA2813285A1 (fr) 2013-04-18 2014-10-18 Bluenica Corporation Dispositif de detection et procede pour surveiller des marchandises perissables
US9557224B2 (en) * 2014-01-08 2017-01-31 University Of Florida Research Foundation, Incorporated Monitoring system for perishable or temperature-sensitive product transportation and storage
EP3178024A4 (fr) * 2014-08-06 2018-01-10 Cold Chain Partners Pty Ltd. Système de surveillance sans fil
US20180039940A1 (en) * 2014-12-16 2018-02-08 Carrier Corporation Environmental parameter monitor with wide area communication
EP3238130A1 (fr) * 2014-12-24 2017-11-01 Carrier Corporation Moniteur de paramètres environnementaux avec affichage lisible par machine
CN112702694A (zh) * 2015-03-02 2021-04-23 洛卡解决方案有限责任公司 用于监视所运输的物品的系统和方法
WO2017020973A1 (fr) 2015-08-03 2017-02-09 Missio B.V. Enregistreur de données et procédés d'échantillonnage et de codage à utiliser dans un enregistreur de données
WO2017139324A1 (fr) 2016-02-12 2017-08-17 Carrier Corporation Échantillonnage de capteur adaptatif d'un système de distribution de la chaîne du froid
JP6880056B2 (ja) * 2016-03-18 2021-06-02 キャリア コーポレイションＣａｒｒｉｅｒ Ｃｏｒｐｏｒａｔｉｏｎ コールドチェーン流通システム全体を通じた生鮮品パラメータの自動化された予測監視

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2001023841A1 (fr) * 1999-09-27 2001-04-05 Q-Tag Ag Appareil de controle destine a controler et afficher des conditions de transport et de stockage critiques
US20070273507A1 (en) * 2005-04-22 2007-11-29 Jonathan Burchell Apparatus and method for monitoring and communicating data associated with a product
US20170053290A1 (en) * 2008-07-03 2017-02-23 Paul Atkinson Intelligent adaptive label device and method
US20150002299A1 (en) * 2009-12-11 2015-01-01 Warren Sandvick Food safety indicator
US20120197622A1 (en) * 2011-01-31 2012-08-02 Fujitsu Limited Monitoring Insulin Resistance
US20150046364A1 (en) * 2013-08-09 2015-02-12 KLATU Networks, LLC System-independent data logging
WO2016074822A1 (fr) * 2014-11-14 2016-05-19 Robert Bosch Gmbh Dispositif pour identifier l'ouverture d'une emballage

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3414708B1 (fr) 2016-02-12 2022-09-28 Carrier Corporation Sélection de données de capteur adaptatif pour un systeme de la chaine du froid

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US20190049926A1 (en) 2019-02-14
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EP3414708B1 (fr) 2022-09-28
SG10202103407YA (en) 2021-04-29

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